Sherstjuk V. Models, Methods and Information Technologies for the Case-scenario Control of Poly-ergatic Systems

The research object is the process of polyergatic system's control. The research aim is the scientific and theoretical basis creation for dynamic scenario-case real-time decision support systems to improve timeliness, quality and effectiveness of polyergatic system's control under the information-hard conditions. The research methods are the systemic and situational approaches; methods of theories of control, similarity, sets, hierarchies, graphs, algebraic rings; the theory of probability, fuzzy and rough sets, description logic; paradigm of multi-agent modeling; abductive plausible inference mechanism; methods of machine learning, dynamic constraint satisfaction, adaptive planning. Received the scientific development the synthesis methodology of the dynamic scenario-case real-time systems and the information technology of scenario-case decision support system for the polyergatic system's control in information-hard situations. The area of application is to solve the hard-formalized control problems in dynamic semi-structured systems in transport industry.